To address the issue of weak robustness and poor accuracy in dual-antenna north finding under dynamic interference conditions, a novel method is proposed based on dual-antenna baseline length and inertial navigation attitude constraints. By incorporating the baseline length and inertial attitude as pseudo-observations, and combining double-difference carrier phase and double-difference pseudorange measurements, this method achieves stable estimation of single-difference ambiguity using Kalman filter. The effectiveness of the algorithm was validated through three-axis swing table tests under various dynamic conditions, demonstrating that the dynamic heading accuracy is better than 0.268°/m (RMS).

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The Dual-Antenna Moving Base North Finding Technique with Baseline and Attitude Constraints

  • Qi Zhou,
  • Guangen Gao,
  • Kai Cheng,
  • Jie Huang

摘要

To address the issue of weak robustness and poor accuracy in dual-antenna north finding under dynamic interference conditions, a novel method is proposed based on dual-antenna baseline length and inertial navigation attitude constraints. By incorporating the baseline length and inertial attitude as pseudo-observations, and combining double-difference carrier phase and double-difference pseudorange measurements, this method achieves stable estimation of single-difference ambiguity using Kalman filter. The effectiveness of the algorithm was validated through three-axis swing table tests under various dynamic conditions, demonstrating that the dynamic heading accuracy is better than 0.268°/m (RMS).